徐芳华,张颖君,唐军荣,阚 欢,张贵良,赵 平,刘 云.云南金花茶主成分提取条件优化及高效液相色谱指纹图谱分析[J].食品安全质量检测学报,2024,15(23):287-295
云南金花茶主成分提取条件优化及高效液相色谱指纹图谱分析
Optimization of extraction conditions and high performance liquid chromatography fingerprint analysis of the main components of Camellia fascicularis
投稿时间:2024-09-11  修订日期:2024-11-29
DOI:
中文关键词:  云南金花茶  条件优化  指纹图谱  高效液相色谱  聚类分析  主成分分析
英文关键词:Camellia fascicularis  condition optimization  fingerprints  high performance liquid chromatography  hierarchical cluster analysis  principal component analysis
基金项目:云南省“兴滇英才支持计划”青年人才专项(XDYC-QNRC-2022-0222)、云南省农业基础研究联合专项(202101BD070001-045)
作者单位
徐芳华 1. 西南林业大学生物与食品工程学院 
张颖君 2. 中国科学院昆明植物研究所, 植物化学与西部植物资源持续利用国家重点实验室 
唐军荣 1. 西南林业大学生物与食品工程学院 
阚 欢 1. 西南林业大学生物与食品工程学院 
张贵良 3. 云南大围山国家级自然保护区河口管理分局 
赵 平 1. 西南林业大学生物与食品工程学院 
刘 云 1. 西南林业大学生物与食品工程学院 
AuthorInstitution
XU Fang-Hua 1. College of Biological Science and Food Engineering, Southwest Forestry University 
ZHANG Ying-Jun 2. State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences 
TANG Jun-Rong 1. College of Biological Science and Food Engineering, Southwest Forestry University 
KAN Huan 1. College of Biological Science and Food Engineering, Southwest Forestry University 
ZHANG Gui-Liang 3. Hekou Management Sub-bureau of Yunnan Daweishan National Nature Reserve 
ZHAO Ping 1. College of Biological Science and Food Engineering, Southwest Forestry University 
LIU Yun 1. College of Biological Science and Food Engineering, Southwest Forestry University 
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中文摘要:
      目的 建立19批不同产地、不同采摘时间的云南金花茶的高效液相色谱(high performance liquid chromatography, HPLC)指纹图谱, 并进行主成分分析。方法 以100%甲醇为提取溶剂, 超声30 min, 料液比为1:15 g/mL, 进样量为10 μL, 流动相系统为乙腈-0.5%甲酸水, 梯度洗脱, 流速为0.5 mL/min, 检测波长为254 nm, 柱温为30 ℃, 通过相似度评价、聚类分析及主成分分析对指纹图谱进行分析。结果 方法学考察结果表明提取溶剂具有良好的稳定性, 19批云南金花茶样品相似度符合要求, 聚类分析及主成分分析将云南金花茶分为6类。结论 建立不同产地、不同采摘时间的云南金花茶指纹图谱所用方法稳定, 为云南金花茶的质量评价及药效研究提供依据。
英文摘要:
      Objective To establish the high performance liquid chromatography (HPLC) fingerprints of 19 batches of Camellia fascicularis from different producing areas and picking times, and analyze principal component analysis. Methods The extraction solvent was 100% methanol; the ultrasonic time was 30 min, the solid-liquid ratio was 1:15 g/mL, the conditions of sample size was 10 μL, mobile phase system consisting was acetonitrile-0.5% formic acid water, gradient elution, the flow rate was 0.5 mL/min, detection wavelength was 254 nm and column temperature of 30 ℃. The fingerprint was analyzed by similarity evaluation, hierarchical cluster analysis and principal component analysis. Results The results of the methodological investigation showed that the extraction solvent had good stability, and the similarity of 19 batches of Camellia fascicularis met the requirements. The Camellia fascicularis were divided into 6 categories by hierarchical cluster analysis and principal component analysis. Conclusion The method used to establish the fingerprint of Camellia fascicularis from different producing areas and picking times is stable, which provides a basis for the quality evaluation and pharmacodynamic study of Camellia fascicularis.
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